Towards a grid-enabled biomolecular simulation database

Bing Wu; Kaihsu Tai; Muan Hong Ng; Steven Johnston; Stuart Murdock; Hans Fangohr; Mark S. P. Sansom; Jonathan Essex; Paul Jeffreys; Simon Cox

Towards a grid-enabled biomolecular simulation database

Bing Wu, Kaihsu Tai, Muan Hong Ng, Steven Johnston, Stuart Murdock, Hans Fangohr, Mark S. P. Sansom, Jonathan Essex, Paul Jeffreys, Simon Cox

School of Computing

University of Southampton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The overall aim of the BioSimGrid project is to build a distributed data and computing platform to enable large scale analysis of the results of biomolecular simulations. To address the challenges of distributed computing on large amounts of simulation data, we have built an open software framework system based on off-the-shelf middleware, SRB (Storage Resource Broker) and the distributed enterprise database, Oracle 10g. We describe the implementation details: architecure, data distribution, security, and implemented analysis modules. We outline two examples, among many more, where BioSimGrid is a necessary tool.

Original language	English
Title of host publication	Proceedings of the UK e-Science All Hands Meeting 2005
Place of Publication	Swindon, UK
Publisher	Engineering and Physical Sciences Research Council
ISBN (Print)	1904425534
Publication status	Published - Sept 2005
Event	UK e-Science All Hands Meeting 2005 - Nottingham, United Kingdom Duration: 18 Sept 2005 → 21 Sept 2005

Conference

Conference	UK e-Science All Hands Meeting 2005
Country/Territory	United Kingdom
City	Nottingham
Period	18/09/05 → 21/09/05

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Cite this

@inproceedings{0cad1cefb1184f9bbc82ad17c15f58e4,

title = "Towards a grid-enabled biomolecular simulation database",

abstract = "The overall aim of the BioSimGrid project is to build a distributed data and computing platform to enable large scale analysis of the results of biomolecular simulations. To address the challenges of distributed computing on large amounts of simulation data, we have built an open software framework system based on off-the-shelf middleware, SRB (Storage Resource Broker) and the distributed enterprise database, Oracle 10g. We describe the implementation details: architecure, data distribution, security, and implemented analysis modules. We outline two examples, among many more, where BioSimGrid is a necessary tool.",

author = "Bing Wu and Kaihsu Tai and Ng, {Muan Hong} and Steven Johnston and Stuart Murdock and Hans Fangohr and Sansom, {Mark S. P.} and Jonathan Essex and Paul Jeffreys and Simon Cox",

year = "2005",

month = sep,

language = "English",

isbn = "1904425534",

booktitle = "Proceedings of the UK e-Science All Hands Meeting 2005",

publisher = "Engineering and Physical Sciences Research Council",

note = "UK e-Science All Hands Meeting 2005 ; Conference date: 18-09-2005 Through 21-09-2005",

}

Wu, B, Tai, K, Ng, MH, Johnston, S, Murdock, S, Fangohr, H, Sansom, MSP, Essex, J, Jeffreys, P & Cox, S 2005, Towards a grid-enabled biomolecular simulation database. in Proceedings of the UK e-Science All Hands Meeting 2005. Engineering and Physical Sciences Research Council, Swindon, UK, UK e-Science All Hands Meeting 2005, Nottingham, United Kingdom, 18/09/05. <https://epsrc.ukri.org/>

TY - GEN

T1 - Towards a grid-enabled biomolecular simulation database

AU - Wu, Bing

AU - Tai, Kaihsu

AU - Ng, Muan Hong

AU - Johnston, Steven

AU - Murdock, Stuart

AU - Fangohr, Hans

AU - Sansom, Mark S. P.

AU - Essex, Jonathan

AU - Jeffreys, Paul

AU - Cox, Simon

PY - 2005/9

Y1 - 2005/9

N2 - The overall aim of the BioSimGrid project is to build a distributed data and computing platform to enable large scale analysis of the results of biomolecular simulations. To address the challenges of distributed computing on large amounts of simulation data, we have built an open software framework system based on off-the-shelf middleware, SRB (Storage Resource Broker) and the distributed enterprise database, Oracle 10g. We describe the implementation details: architecure, data distribution, security, and implemented analysis modules. We outline two examples, among many more, where BioSimGrid is a necessary tool.

AB - The overall aim of the BioSimGrid project is to build a distributed data and computing platform to enable large scale analysis of the results of biomolecular simulations. To address the challenges of distributed computing on large amounts of simulation data, we have built an open software framework system based on off-the-shelf middleware, SRB (Storage Resource Broker) and the distributed enterprise database, Oracle 10g. We describe the implementation details: architecure, data distribution, security, and implemented analysis modules. We outline two examples, among many more, where BioSimGrid is a necessary tool.

UR - https://eprints.soton.ac.uk/41989/1/Wu_05pp.pdf

UR - http://www.allhands.org.uk/2005/proceedings/papers/409.pdf

M3 - Conference contribution

SN - 1904425534

BT - Proceedings of the UK e-Science All Hands Meeting 2005

PB - Engineering and Physical Sciences Research Council

CY - Swindon, UK

T2 - UK e-Science All Hands Meeting 2005

Y2 - 18 September 2005 through 21 September 2005

ER -

Towards a grid-enabled biomolecular simulation database

Abstract

Conference

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